openai/CLIP: papers linking to it

GitHub · 34,560 stars · 4,063 forks · Jupyter Notebook · license MIT · created 2020 · github.com/openai/CLIP

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to openai/CLIP (https://github.com/openai/CLIP), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Key findings#

3 papers in the tracked journals link to the GitHub repository openai/CLIP in their Crossref records, the first in 2024; most of them (2) in 2025.
By category: AI (3); the journals with the most are Knowledge-Based Systems (1), Nature Machine Intelligence (1) and International Journal of Computer Vision (1).

By year#

20242025

Papers linking to openai/CLIP by publication year
Year	Papers
2024	1
2025	2

Journals#

Journals whose papers link to openai/CLIP most
Journal	Papers
Knowledge-Based Systems	1
Nature Machine Intelligence	1
International Journal of Computer Vision	1

Papers linking to openai/CLIP, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-03-17	Explainable AI reveals Clever Hans effects in unsupervised learning models	Nature Machine Intelligence	Jacob Kauffmann, Jonas Dippel, Lukas Ruff et al.	35	cites it
2024-01-12	Generative Adversarial Network Applications in Industry 4.0: A Review	International Journal of Computer Vision	Chafic Abou Akar, Rachelle Abdel Massih, Anthony Yaghi et al.	31	cites it
2025-02-14	LLM Knowledge-Driven Target Prototype Learning for Few-Shot Segmentation	Knowledge-Based Systems	Pengfang Li, Fang Liu, Licheng Jiao et al.	12	cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). openai/CLIP: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-openai-clip

@misc{scholar4ai-code-github-openai-clip,
  author = {{Scholar4AI}},
  title = {openai/CLIP: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-openai-clip}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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